BLUE STAR DONATIONS: DIMINISHING BIAS IN AI
7 months ago
8
One way to diminish bias in AI is to ensure that the data used to train the AI model is diverse and representative of all populations. Additionally, incorporating input and feedback from a diverse group of individuals throughout the development process can help identify and address any potential biases. It is also important to regularly test and evaluate the AI system for bias and make necessary adjustments. Finally, promoting transparency and accountability in AI development and use can help prevent and address potential biases.
Loading comments...
-
3:14
BLUE STAR DONATIONS
6 months agoBLUE STAR DONATIONS: CORRECTONS OF AI BIAS PROBLEM
27 -
1:29
BLUE STAR DONATIONS
7 months agoBLUE STAR DONATIONS: GENERATIVE AI
10 -
7:31
The Cogitating Ceviché
3 months agoBeyond Illusion: The Ripple Effects of AI's New Frontier
5 -
4:12
THE ZONE OF TRUTH
7 months agoTHE AMERICAN INJUSTICE SYSTEM EXPOSED
140K2 -
15:56
The New Enlightenment with Ashley
4 months agoPrevalence Bias | Behavioral Economics and Social Media
-
10:40
AV
6 months ago#505 Funding Fairness Innovation Challenge share of up to £400,000
3 -
0:40
Blacklogic0
3 months agoThe Impact of Religion on Discriminatory Legislation: Unmasking Hidden Biases
22 -
13:04
laltuna
3 months agoBlazeTV - Fani Willis PROVES she's a Low-IQ Diversity Hire
118 -
3:59
AllThingsPsychology
1 month agoUnraveling Confirmation Bias: How to See Beyond Your Beliefs
641 -
2:15
Nate Pickens
3 months agoCreator Bias is the Real Danger of AI
20